code: def csrmask_real(gidxA, A_weights, gidxB):
      B_weights = _csrmask(gidxA, A_weights, gidxB)
  
      def grad(dB_weights):
          return _csrmask(gidxB, dB_weights, gidxA)
  
      return B_weights, grad
  
imports: import numpy
  import tensorflow
  from ..._sparse_ops import _bwd_segment_cmp, _csrmask, _csrmm, _csrsum, _gsddmm, _gspmm, _scatter_add, _segment_reduce
  from ...base import ALL, is_all
  from ...heterograph_index import create_unitgraph_from_csr
  from .tensor import asnumpy, context, copy_to, tensor, zerocopy_from_numpy
label_desc: Use image node_id 22 for calling a global function with example usage: csrmask_real(gidxA, A_weights, gidxB) and returns: B_weights,  grad, _csrmask